Triple
T2875188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Biafo Glacier |
E56860
|
entity |
| Predicate | totalSystemLengthWithHispar |
P14630
|
FINISHED |
| Object | about 100 km |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: about 100 km | Statement: [Biafo Glacier, totalSystemLengthWithHispar, about 100 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: totalSystemLengthWithHispar Context triple: [Biafo Glacier, totalSystemLengthWithHispar, about 100 km]
-
A.
trailSystemLength
chosen
Indicates the total measured length of a trail system associated with an entity.
-
B.
totalSpace
Indicates the overall amount of space or capacity available or occupied by an entity or within a given context.
-
C.
totalHeight
Indicates the combined vertical measurement resulting from adding the heights of one or more entities.
-
D.
IVLength
Indicates the measured length of an intravenous (IV) line or catheter used in a medical context.
-
E.
hasTotalNumber
Indicates that an entity is associated with a specific overall count or sum of items, elements, or units.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ab4a4ced288190ab6d3e062d10f7f6 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abe004a64481908f1897d9054a7368 |
completed | March 7, 2026, 8:21 a.m. |
| PD | Predicate disambiguation | batch_69abdd142e4c8190b424cb0c5ff40d04 |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 10:03 p.m.